Predictive factors and a novel nomogram for recurrence of primary retroperitoneal liposarcoma: Comprehensive analysis of 128 cases

Yu,Zhi-Yuan; Gao,Jing-Wang; Liu,Na; Zhou,Si-Xin; Zhao,Xu-Dong; Li,Pei-Yu

doi:10.3892/ol.2023.13843

Predictive factors and a novel nomogram for recurrence of primary retroperitoneal liposarcoma: Comprehensive analysis of 128 cases

Authors:
- Zhi-Yuan Yu
- Jing-Wang Gao
- Na Liu
- Si-Xin Zhou
- Xu-Dong Zhao
- Pei-Yu Li
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Affiliations: School of Medicine, Nankai University, Tianjin 300071, P.R. China, Medical School of Chinese People's Liberation Army, Beijing 100853, P.R. China, Medical School of Chinese People's Liberation Army, Beijing 100853, P.R. China, Department of General Surgery, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China, Department of General Surgery, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China
Published online on: April 28, 2023 https://doi.org/10.3892/ol.2023.13843
Article Number: 257
Copyright: © Yu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Since primary retroperitoneal liposarcoma (PRPLS) is rare in the clinic, related clinical studies are lacking. The present study was designed to investigate the predictive factors of short‑term (≤1 year) recurrence (STR) and construct a novel nomogram of local recurrence‑free survival (LRFS) for surgically resected PRPLS. A total of 128 PRPLS cases who underwent radical surgery were retrospectively analyzed. Based on the interval from the operation to tumor recurrence, the predictors of STR were screened using univariate and multivariate logistic regression analyses. Cox proportional hazard regression models were applied to identify the predictors of LRFS. Furthermore, the independent predictors acquired from multivariate analyses were used to construct a nomogram. Multivariate logistic regression analysis revealed that age ≥55 years [odds ratio (OR)=5.607, P=0.010], operative time ≥260 min (OR=9.716, P=0.005) and tumor necrosis (OR=3.781, P=0.037) were independent risk factors of STR for PRPLS. In the Cox regression analysis, clinical symptoms [hazard ratio (HR)=1.746, P=0.017], resection method (OR=0.370, P=0.021) and de‑differentiated histological subtype (HR=1.975, P=0.048) were identified as independent predictors of LRFS. Subsequently, the independent predictors acquired from multivariate analyses were used to construct a nomogram for LRFS. Age, operative time, tumor necrosis, clinical symptoms, resection method and histological subtype were related to recurrence for surgically resected PRPLS and a novel nomogram was constructed based on the above predictors.

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